RoboCup Rescue Simulation Machine Learning Workshop
| Authors |
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|---|---|
| Publication date | 06-2018 |
| Event | RoboCup 2018 |
| Number of pages | 12 |
| Publisher | Amsterdam: Intelligent Robotics Lab |
| Organisations |
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| Abstract |
The Rescue Simulation League is the challenge to learn an optimal response for a team of robots that have to mitigate the effects of a disaster. To operate optimal as teams, several aspects have to be solved at once, such as team formation, task allocation and route planning. This is a hard problem, which could be quite overwhelming for newcomer teams. The proposal is to create a workshop, which demonstrates how each of the aspects could be solved with standard machine learning algorithms, as available in MathWorks' Statistics and Machine Learning Toolbox™. |
| Document type | Report |
| Note | Report for the RoboCup 2018 infrastructure competition, June 2018, Montreal, Canada. |
| Language | English |
| Other links | https://rescuesim.robocup.org/2018-montreal-infra-participating-teams/ http://2018.robocup.org/?page=major-leagues&lang=en |
| Downloads |
MachineLearningWorkshopRescue
(Accepted author manuscript)
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| Permalink to this page | |
